Leading players in the petrochemical industry have already embraced AI as a transformative force. Shell, for instance, employs AI solutions to predict downstream demand, optimize the supply chain, and determine the optimal oil mix for refineries. Many other companies are also utilizing AI across various applications, including those mentioned above. One crucial use case in the petrochemical sector involves leveraging modern machine learning techniques to minimize emissions and optimize pipeline operations, ensuring minimal environmental impact. AI’s ability to analyze vast amounts of data and identify intricate patterns positions it favorably to tackle challenges that were previously deemed unsolvable. By harnessing AI’s potential, the petrochemical industry can shift away from considering emissions and hazards as an inherent aspect of doing business, paving the way for greater efficiency and intelligence in the sector.